machinelearning

Machine learning code
git clone git://git.laack.co/machinelearning.git
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Diagram1.ipynb (3490B)

      1 {
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      3   {
      4    "cell_type": "code",
      5    "execution_count": 9,
      6    "metadata": {},
      7    "outputs": [
      8     {
      9      "data": {
     10       "image/svg+xml": [
     11        "<?xml version=\"1.0\" encoding=\"UTF-8\" standalone=\"no\"?>\n",
     12        "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
     13        " \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
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     16        "<!-- Title: %3 Pages: 1 -->\n",
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     18        " viewBox=\"0.00 0.00 134.00 116.00\" xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">\n",
     19        "<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 112)\">\n",
     20        "<title>%3</title>\n",
     21        "<polygon fill=\"white\" stroke=\"transparent\" points=\"-4,4 -4,-112 130,-112 130,4 -4,4\"/>\n",
     22        "<!-- A -->\n",
     23        "<g id=\"node1\" class=\"node\">\n",
     24        "<title>A</title>\n",
     25        "<ellipse fill=\"none\" stroke=\"black\" cx=\"63\" cy=\"-90\" rx=\"27\" ry=\"18\"/>\n",
     26        "<text text-anchor=\"middle\" x=\"63\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\">A</text>\n",
     27        "</g>\n",
     28        "<!-- B -->\n",
     29        "<g id=\"node2\" class=\"node\">\n",
     30        "<title>B</title>\n",
     31        "<ellipse fill=\"none\" stroke=\"black\" cx=\"27\" cy=\"-18\" rx=\"27\" ry=\"18\"/>\n",
     32        "<text text-anchor=\"middle\" x=\"27\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\">B</text>\n",
     33        "</g>\n",
     34        "<!-- A&#45;&gt;B -->\n",
     35        "<g id=\"edge2\" class=\"edge\">\n",
     36        "<title>A&#45;&gt;B</title>\n",
     37        "<path fill=\"none\" stroke=\"black\" d=\"M54.65,-72.76C50.29,-64.28 44.85,-53.71 39.96,-44.2\"/>\n",
     38        "<polygon fill=\"black\" stroke=\"black\" points=\"42.99,-42.44 35.3,-35.15 36.77,-45.64 42.99,-42.44\"/>\n",
     39        "</g>\n",
     40        "<!-- C -->\n",
     41        "<g id=\"node3\" class=\"node\">\n",
     42        "<title>C</title>\n",
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     44        "<text text-anchor=\"middle\" x=\"99\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\">C</text>\n",
     45        "</g>\n",
     46        "<!-- A&#45;&gt;C -->\n",
     47        "<g id=\"edge1\" class=\"edge\">\n",
     48        "<title>A&#45;&gt;C</title>\n",
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     53        "</svg>\n"
     54       ],
     55       "text/plain": [
     56        "<graphviz.graphs.Digraph at 0x7f4bcbd3e450>"
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     59      "execution_count": 9,
     60      "metadata": {},
     61      "output_type": "execute_result"
     62     }
     63    ],
     64    "source": [
     65     "from graphviz import Digraph\n",
     66     "\n",
     67     "dot = Digraph()\n",
     68     "\n",
     69     "dot.node('A')\n",
     70     "dot.node('B')\n",
     71     "dot.node('C')\n",
     72     "dot.edge('A' , 'C')\n",
     73     "dot.edge('A' , 'B')\n",
     74     "\n",
     75     "dot"
     76    ]
     77   }
     78  ],
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     83    "name": "python3"
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     93    "nbconvert_exporter": "python",
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